| Literature DB >> 25238461 |
Michael C Frank1, Noah D Goodman2.
Abstract
Language comprehension is more than a process of decoding the literal meaning of a speaker's utterance. Instead, by making the assumption that speakers choose their words to be informative in context, listeners routinely make pragmatic inferences that go beyond the linguistic data. If language learners make these same assumptions, they should be able to infer word meanings in otherwise ambiguous situations. We use probabilistic tools to formalize these kinds of informativeness inferences-extending a model of pragmatic language comprehension to the acquisition setting-and present four experiments whose data suggest that preschool children can use informativeness to infer word meanings and that adult judgments track quantitatively with informativeness.Entities:
Keywords: Bayesian models; Language acquisition; Pragmatics; Word learning
Mesh:
Year: 2014 PMID: 25238461 DOI: 10.1016/j.cogpsych.2014.08.002
Source DB: PubMed Journal: Cogn Psychol ISSN: 0010-0285 Impact factor: 3.468